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Ex 13.1, 9 - Chapter 13 Class 12 Probability
Last updated at July 24, 2026 by Teachoo
Conditional Probability - Statement
Chapter 13 Class 12 Probability
Concept wise
- Conditional Probability - Values given
-
Conditional Probability - Statement
- Multiplication rule of probability
- Independent events
- Basic Probability
- Theorem of total probability
- Bayes theorem
- Random Variable - Defination
- Probability distribution
- Mean or Expectation of random variable
- Variance and Standard Deviation of a Random Variable
- Bernoulli Trials
- Binomial Distribution
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Transcript
Ex 13.1, 9 Mother, father and son line up at random for a family picture E : son on one end, F : father in middleMother, Father and son line up at random for a family picture So, Sample Space will be S = {(M, F, S), (M, S, F), (F, M, S), (F, S, M), (S, M, F), (S, F, M)} We need to find the probability that the son is on one end, given that the father is in the middle. So, E: Son on one end F: Father in middle We need to find P(E|F) Event E E = {(M,F,S), (F,M,S),(S,M,F), (S,F,M)} P(E) = 4/6=2/3 Event F F = {(M, F, S), (S, F, M)} P(F) = 2/6=1/3 Also, E ∩ F = {(M,F,S), (S,F,M)} ∴ P(E ∩ F) = 2/6=𝟏/𝟑 Now, P(E|F) = (𝑃(𝐸 ∩ 𝐹))/(𝑃(𝐹)) = (1/3)/(1/3) = 1
